find a zscore in r

To find the z-score of a value in R, you can use the pnorm() function which calculates the cumulative distribution function (CDF) of a standard normal distribution. The formula for calculating the z-score is (x - mean) / sd, where x is the raw input value, mean is the mean of the population or sample, and sd is the standard deviation of the population or sample.

Here's an example of finding the z-score of a value in R:

main.r
# Generate a random dataset with 100 values
set.seed(123)
data <- rnorm(100, mean = 50, sd = 10)

# Find the z-score of a value of 60
z_score <- (60 - mean(data)) / sd(data)
z_score
182 chars
8 lines

The output will be the z-score of the value 60 in the dataset data. You can use this z-score in hypothesis testing or other statistical analyses.